Marco Leo

4.8k total citations
133 papers, 3.1k citations indexed

About

Marco Leo is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Marco Leo has authored 133 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 24 papers in Human-Computer Interaction and 12 papers in Biomedical Engineering. Recurrent topics in Marco Leo's work include Video Surveillance and Tracking Methods (35 papers), Video Analysis and Summarization (21 papers) and Human Pose and Action Recognition (19 papers). Marco Leo is often cited by papers focused on Video Surveillance and Tracking Methods (35 papers), Video Analysis and Summarization (21 papers) and Human Pose and Action Recognition (19 papers). Marco Leo collaborates with scholars based in Italy, United States and India. Marco Leo's co-authors include Tiziana D’Orazio, Cosimo Distante, Paolo Spagnolo, A. Distante, Pierluigi Carcagnì, Cataldo Guaragnella, Dario Cazzato, Pier Luigi Mazzeo, Marco Del Coco and Krishna Persaud and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Marco Leo

129 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Leo Italy 29 1.5k 394 356 318 317 133 3.1k
Xin Liu China 29 1.1k 0.8× 525 1.3× 213 0.6× 162 0.5× 324 1.0× 172 2.5k
Michael Jenkin Canada 31 1.6k 1.1× 381 1.0× 500 1.4× 1.3k 4.1× 236 0.7× 233 4.3k
Cosimo Distante Italy 28 962 0.7× 732 1.9× 192 0.5× 242 0.8× 339 1.1× 159 2.9k
Ramanathan Subramanian India 35 1.1k 0.8× 339 0.9× 210 0.6× 610 1.9× 538 1.7× 169 4.5k
Gholamreza Anbarjafari Estonia 29 1.9k 1.3× 294 0.7× 312 0.9× 209 0.7× 291 0.9× 146 3.2k
Mohamed Abdel-Mottaleb United States 33 3.0k 2.0× 416 1.1× 317 0.9× 127 0.4× 597 1.9× 132 4.5k
Laxmidhar Behera India 33 1000 0.7× 403 1.0× 173 0.5× 507 1.6× 625 2.0× 313 4.2k
Sukhan Lee South Korea 28 868 0.6× 366 0.9× 146 0.4× 542 1.7× 535 1.7× 258 3.8k
Yue Liu China 23 941 0.6× 239 0.6× 723 2.0× 566 1.8× 123 0.4× 265 2.4k
Jorge Dias Portugal 33 1.9k 1.3× 1.0k 2.6× 298 0.8× 207 0.7× 662 2.1× 312 4.8k

Countries citing papers authored by Marco Leo

Since Specialization
Citations

This map shows the geographic impact of Marco Leo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marco Leo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Leo more than expected).

Fields of papers citing papers by Marco Leo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Leo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marco Leo. The network helps show where Marco Leo may publish in the future.

Co-authorship network of co-authors of Marco Leo

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Leo. A scholar is included among the top collaborators of Marco Leo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marco Leo. Marco Leo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sufian, Abu, et al.. (2024). GMDCSA-24: A dataset for human fall detection in videos. Data in Brief. 57. 110892–110892. 2 indexed citations
2.
Leo, Marco, Pierluigi Carcagnì, Francesco Corcione, et al.. (2024). Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma. SHILAP Revista de lepidopterología. 5(1). 324–341. 4 indexed citations
3.
Colantonio, Sara, et al.. (2023). Computer Vision Tasks for Ambient Intelligence in Children’s Health. Information. 14(10). 548–548. 3 indexed citations
4.
Carcagnì, Pierluigi, et al.. (2023). An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading. Sensors. 23(9). 4556–4556. 3 indexed citations
5.
Tomás, David, et al.. (2023). A Deep Learning-Based Multimodal Architecture to predict Signs of Dementia. Neurocomputing. 548. 126413–126413. 11 indexed citations
6.
Lecciso, Flavia, Annalisa Levante, Rosa Angela Fabio, et al.. (2021). Emotional Expression in Children With ASD: A Pre-Study on a Two-Group Pre-Post-Test Design Comparing Robot-Based and Computer-Based Training. Frontiers in Psychology. 12. 678052–678052. 25 indexed citations
7.
Caltagirone, Francesco, et al.. (2016). Recovering asymmetric communities in the stochastic block model. HAL (Le Centre pour la Communication Scientifique Directe). 13. 9–16. 1 indexed citations
8.
Farinella, Giovanni Maria, Takeo Kanade, Marco Leo, Gérard Medioni, & Mohan M. Trivedi. (2016). Special issue on Assistive Computer Vision and Robotics - Part I. Computer Vision and Image Understanding. 148. 1–2. 6 indexed citations
9.
Wieser, Gerhard, Walter Oberhuber, Andreas Gruber, et al.. (2016). Stable Water Use Efficiency under Climate Change of Three Sympatric Conifer Species at the Alpine Treeline. Frontiers in Plant Science. 7. 799–799. 23 indexed citations
10.
Farinella, Giovanni Maria, Takeo Kanade, Marco Leo, Gérard Medioni, & Mohan M. Trivedi. (2016). Special Issue on Assistive Computer Vision and Robotics - ``Assistive Solutions for Mobility, Communication and HMI''. Computer Vision and Image Understanding. 149. 1–2. 1 indexed citations
11.
Carcagnì, Pierluigi, Marco Del Coco, Marco Leo, & Cosimo Distante. (2015). Facial expression recognition and histograms of oriented gradients: a comprehensive study. SpringerPlus. 4(1). 645–645. 126 indexed citations
12.
Leo, Marco, Federica Battisti, Marco Carli, & Alessandro Neri. (2014). A federated architecture approach for Internet of Things security. Iris (Roma Tre University). 1–5. 91 indexed citations
13.
Wieser, Gerhard, Marco Leo, & Walter Oberhuber. (2014). Transpiration and canopy conductance in an inner alpine Scots pine (Pinus sylvestris L.) forest. Flora. 209(9). 491–498. 22 indexed citations
14.
Cazzato, Dario, Marco Leo, & Cosimo Distante. (2014). A Statistical Approach to Automatically Detect How Many Persons Appear in a Video. 2014(1). 11–23. 1 indexed citations
15.
Leo, Marco, et al.. (2014). Unsupervised Eye Pupil Localization through Differential Geometry and Local Self-Similarity Matching. PLoS ONE. 9(8). e102829–e102829. 39 indexed citations
16.
Leo, Marco, David Looney, Tiziana D’Orazio, & Danilo P. Mandic. (2011). Identification of Defective Areas in Composite Materials by Bivariate EMD Analysis of Ultrasound. IEEE Transactions on Instrumentation and Measurement. 61(1). 221–232. 30 indexed citations
17.
Mazzeo, Pier Luigi, et al.. (2011). HSV and RGB color histograms comparing for objects tracking among non overlapping FOVs, using CBTF. 498–503. 15 indexed citations
18.
Spagnolo, Paolo, Marco Leo, G. Attolico, & A. Distante. (2004). Posture recognition in visual surveillance of archeological sites. 2. 1542–1547. 2 indexed citations
19.
Leo, Marco & M. Luglio. (2002). Performance evaluation of intersegment handover procedures in UMTS scenario. 4. 1930–1934. 3 indexed citations
20.
Distante, Cosimo, Marco Leo, Pietro Siciliano, & Krishna Persaud. (2002). On the study of feature extraction methods for an electronic nose. Sensors and Actuators B Chemical. 87(2). 274–288. 149 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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